Identification of the prognostic value of LACTB2 and its correlation with immune infiltrates in ovarian cancer by integrated bioinformatics analyses
Abstract Ovarian cancer (OC) is one of the most common reproductive tumors in women, whereas current treatment options are limited. β-lactamase-like-protein 2 (LACTB2) has been observed to be associated with various cancers, but its function in OC is unknown. Therefore, we evaluate the prognostic va...
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BMC
2024-03-01
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Series: | European Journal of Medical Research |
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Online Access: | https://doi.org/10.1186/s40001-024-01762-2 |
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author | Weiwei Cao Chao Wang Yue Zhang Jiani Yang Xiaomei Luo Yaqian Zhao Meixuan Wu Shanshan Cheng Yu Wang |
author_facet | Weiwei Cao Chao Wang Yue Zhang Jiani Yang Xiaomei Luo Yaqian Zhao Meixuan Wu Shanshan Cheng Yu Wang |
author_sort | Weiwei Cao |
collection | DOAJ |
description | Abstract Ovarian cancer (OC) is one of the most common reproductive tumors in women, whereas current treatment options are limited. β-lactamase-like-protein 2 (LACTB2) has been observed to be associated with various cancers, but its function in OC is unknown. Therefore, we evaluate the prognostic value and the underlying function of LACTB2 in OC. In this study, high expression of LACTB2 was observed in OC compared with normal controls. Kaplan–Meier Plotter analysis revealed that overexpressed LACTB2 is strongly correlated with poor prognosis. We conducted GO/KEGG analysis to investigate the potential biological function of LACTB2 in OC. GESA analysis showed that LACTB2 was closely related to immune-related pathways. Subsequently, we explored the relationship between LACTB2 and 24 types of immune cells in OC. The results suggested that LACTB2 was positively associated with multiple tumor-infiltrating immune cells. Importantly, LACTB2 may modulate immune cell infiltration in OC to influence prognosis. In conclusion, LACTB2 can be used as a promising prognostic biomarker and immunotherapy target for OC. |
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institution | Directory Open Access Journal |
issn | 2047-783X |
language | English |
last_indexed | 2024-04-24T23:09:32Z |
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series | European Journal of Medical Research |
spelling | doaj.art-a75e5d6c6c4c4720bcd7c5648309dfa02024-03-17T12:19:30ZengBMCEuropean Journal of Medical Research2047-783X2024-03-0129111210.1186/s40001-024-01762-2Identification of the prognostic value of LACTB2 and its correlation with immune infiltrates in ovarian cancer by integrated bioinformatics analysesWeiwei Cao0Chao Wang1Yue Zhang2Jiani Yang3Xiaomei Luo4Yaqian Zhao5Meixuan Wu6Shanshan Cheng7Yu Wang8Department of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji UniversityDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji UniversityDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji UniversityDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji UniversityDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji UniversityDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji UniversityDepartment of Obstetrics and Gynecology, Ren Ji Hospital, Shanghai Jiao Tong University School of MedicineDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji UniversityDepartment of Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji UniversityAbstract Ovarian cancer (OC) is one of the most common reproductive tumors in women, whereas current treatment options are limited. β-lactamase-like-protein 2 (LACTB2) has been observed to be associated with various cancers, but its function in OC is unknown. Therefore, we evaluate the prognostic value and the underlying function of LACTB2 in OC. In this study, high expression of LACTB2 was observed in OC compared with normal controls. Kaplan–Meier Plotter analysis revealed that overexpressed LACTB2 is strongly correlated with poor prognosis. We conducted GO/KEGG analysis to investigate the potential biological function of LACTB2 in OC. GESA analysis showed that LACTB2 was closely related to immune-related pathways. Subsequently, we explored the relationship between LACTB2 and 24 types of immune cells in OC. The results suggested that LACTB2 was positively associated with multiple tumor-infiltrating immune cells. Importantly, LACTB2 may modulate immune cell infiltration in OC to influence prognosis. In conclusion, LACTB2 can be used as a promising prognostic biomarker and immunotherapy target for OC.https://doi.org/10.1186/s40001-024-01762-2LACTB2Ovarian cancerImmunologyPrognosis |
spellingShingle | Weiwei Cao Chao Wang Yue Zhang Jiani Yang Xiaomei Luo Yaqian Zhao Meixuan Wu Shanshan Cheng Yu Wang Identification of the prognostic value of LACTB2 and its correlation with immune infiltrates in ovarian cancer by integrated bioinformatics analyses European Journal of Medical Research LACTB2 Ovarian cancer Immunology Prognosis |
title | Identification of the prognostic value of LACTB2 and its correlation with immune infiltrates in ovarian cancer by integrated bioinformatics analyses |
title_full | Identification of the prognostic value of LACTB2 and its correlation with immune infiltrates in ovarian cancer by integrated bioinformatics analyses |
title_fullStr | Identification of the prognostic value of LACTB2 and its correlation with immune infiltrates in ovarian cancer by integrated bioinformatics analyses |
title_full_unstemmed | Identification of the prognostic value of LACTB2 and its correlation with immune infiltrates in ovarian cancer by integrated bioinformatics analyses |
title_short | Identification of the prognostic value of LACTB2 and its correlation with immune infiltrates in ovarian cancer by integrated bioinformatics analyses |
title_sort | identification of the prognostic value of lactb2 and its correlation with immune infiltrates in ovarian cancer by integrated bioinformatics analyses |
topic | LACTB2 Ovarian cancer Immunology Prognosis |
url | https://doi.org/10.1186/s40001-024-01762-2 |
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